An Access Control System with Time-constraint Using Support Vector Machines

10.6633/IJNS.200603.2(2).10

Chin-Chen Chang；Iuon-Chang Lin；Chia-Te Liao

Access control ； information protection ； neural network ； security ； support vector machines

International Journal of Network Security

2卷2期（2006 / 03 / 01）

150 - 159

英文

Access control is an important issue in information security. It is a necessary mechanism for protecting data in a computer system. In this paper, we apply support vector machines to construct an access control system. The security management framework is a pattern classification system using well trained support vector machines. The proposed system can not only be applied to broad access policies, but the access rights of users can also be associated with a time period. The proposed scheme is useful to make predictions on real-time data and it is better adapted to complex computer systems.